Image steganalysis with binary similarity measures

Author

Avcibas, Ismail ; Memon, Nasir ; Sankur, Biilent

Author_Institution

Dept. of Electron. Eng, Uludag Univ., Bursa, Turkey

Volume

3

fYear

2002

fDate

24-28 June 2002

Firstpage

645

Abstract

We present a novel technique for steganalysis of images that have been subjected to least significant bit (LSB) type steganographic algorithms. The seventh and eighth bit planes in an image are used for the computation of several binary similarity measures. The basic idea is that the correlation between the bit planes as well the binary texture characteristics within the bit planes differs between a stego-image and a cover-image. These telltale marks can be used to construct a steganalyzer, that is, a multivariate regression scheme to detect the presence of a steganographic message in an image.

Keywords

data encapsulation; image coding; image texture; security of data; statistical analysis; LSB; binary similarity measures; binary texture characteristics; bit planes; cover-image; image steganalysis; least significant bit; multivariate regression scheme; steganographic message; stego-image; Context; Cryptography; Digital images; Frequency domain analysis; Image analysis; Image coding; Image quality; Multivariate regression; Quantization; Steganography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1039053

Filename

1039053